{"id":"W2147571640","doi":"10.1093/cjres/rss012","title":"The Creative Class and the crisis","year":2012,"lang":"en","type":"article","venue":"Cambridge Journal of Regions Economy and Society","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Recession; Unemployment; Creative class; Demographic economics; Service (business); Economics; Population; Unemployment rate; Creative economy; Class (philosophy); Economic growth; Economy; Demography; Psychology; Creativity; Sociology; Keynesian economics; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001454785,0.00006015132,0.0001285438,0.000006138006,0.001603798,0.0001566071,0.0001087612,0.00005843614,0.000009318086],"category_scores_gemma":[0.0000706619,0.00002884305,0.0001261349,0.0000644029,0.0009052879,0.0002966257,0.00003465465,0.000198327,8.846144e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006457031,"about_ca_system_score_gemma":0.00009669791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001633718,"about_ca_topic_score_gemma":0.00002569176,"domain_scores_codex":[0.9994006,0.0001146852,0.0001799002,0.00004675467,0.0000742254,0.0001838931],"domain_scores_gemma":[0.999194,0.0003241035,0.0001918495,0.0000533787,0.0001058524,0.0001308294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001280841,0.00000676693,0.001686828,0.000001439027,0.0001021406,2.728677e-7,0.02378428,1.826541e-7,3.105836e-7,0.1383947,0.83326,0.002750296],"study_design_scores_gemma":[0.0002996894,0.000008937182,0.003352798,0.000006333093,0.00002947068,0.0000192712,0.1507543,0.000003763382,0.000005474395,0.000384628,0.8450924,0.00004288049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4414406,0.03269375,0.0003582295,0.4259334,0.0009375577,0.0004548347,0.000004983494,0.00001600702,0.09816067],"genre_scores_gemma":[0.9605969,0.01902128,0.0000731739,0.001336634,0.0007174949,0.0000047315,2.427043e-7,0.000003358665,0.01824618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5191563,"threshold_uncertainty_score":0.999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990031093017712,"score_gpt":0.2677543091932086,"score_spread":0.2378539982630315,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}